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Incorporating pixel contextual information is critical for accurate segmentation. In this paper, we show that an effective way to incorporate contextual information is through a patch-based classifier. This patch classifier is trained to identify ...

Pull-based development is widely used in popular social coding environments like GitHub and GitLab for both internal and external contributions. When critical bug fixes or features are committed to the main branch of a project, it is often ...

Machine learning has been increasingly adopted for automatic security vulnerability discovery in research and industry. The ability to automatically identify and prioritize bugs in patches is crucial to organizations seeking to defend against potential ...

Individuals frequently maintain poor posture for extended periods while engrossed in their work, leading to potential health risks. Consequently, there is a pressing need for a robust sitting recognition system capable of reminding users to ...

Data security and privacy play a significant role in human life over the past few years. In the present digital era, advanced technologies utilize wide reliance and ubiquity to assist the counter theft system. Due to the enhanced crime rate, ...

• Piglet brain segmentation on MRI with patch-based 3D U-Net outperforms other solutions such as 2D deep learning or standard tools specific to the human brain ...

Background and Objectives:In order to study neural plasticity in immature brain following early brain lesion, large animal model are needed. Because of its morphological similarities with the human developmental brain, ...

Although neural networks have proven very successful in a number of medical image analysis applications, their use remains difficult when targeting subtle tasks such as the identification of barely visible brain lesions, especially given the lack ...

Patching is a common activity in software development. It is generally performed on a source code base to address bugs or add new functionalities. In this context, given the recurrence of bugs across projects, the associated similar patches can be ...

The identification of lexical semantic relations is of the utmost importance to enhance reasoning capacities of Natural Language Processing and Information Retrieval systems. Within this context, successful results have been achieved based on the ...

Brain tumor detection is an active area of research in brain image processing. In this work, a methodology is proposed to segment and classify the brain tumor using magnetic resonance images (MRI). Deep Neural Networks (DNN) based ...

• A new light-weight Deep Neural Networks approach for brain tumor segmentation.
• ...

Multimodal imaging combining positron emission tomography (PET) and magnetic resonance imaging (MRI) provides complementary information about metabolism and anatomy. While the appearances of MRI and PET images are distinctive, there are ...

Defects4J is a large, peer-reviewed, structured dataset of real-world Java bugs. Each bug in Defects4J comes with a test suite and at least one failing test case that triggers the bug. In this paper, we report on an experiment to explore the ...

Developers occasionally make more than one patch to fix a bug. The related patches sometimes are intentionally separated, but unintended omission errors require supplementary patches. Several change recommendation systems have been suggested based on ...

Our visual attention is attracted by specific areas into 3D objects (represented by meshes). This visual attention depends on the degree of saliency exposed by these areas. In this paper, we propose a novel multi-scale approach for detecting salient ...

A VLSI-hardware-friendly action recognition algorithm using spatio-temporal motion-field patches has been developed. The system employs a hierarchical structure so that the robust recognition can be achieved gradually. At the lower level, motion fields ...

Many applications have a need for indexing unstructured data. It turns out that a similar ad-hoc method is being used in many of them - that of considering small particles of the data. In this paper we formalize this concept as a tiling problem and ...

Patch submission has been known as one of the most important activities to sustain the open source software (OSS). The patch archive can be analyzed to procure many benefit cognizance for supporting the OSS project works. The recent models and methods ...

We present a novel multiresolution Vortex-In-Cell algorithm using patches of varying resolution. The Poisson equation relating the fluid vorticity and velocity is solved using Fast Fourier Transforms subject to free space boundary conditions. Solid ...

A key issue in maintaining Linux device drivers is the need to keep them up to date with respect to evolutions in Linux internal libraries. Currently, there is little tool support for performing and documenting such changes.

In this paper we present a ...